| Autor: |
Qiang Yang, Webb, Geoff, Ho-Joon Kim, Tae-Wan Ryu, Lee, Juho, Hyun-Seung Yang |
| Zdroj: |
PRICAI 2006: Trends in Artificial Intelligence; 2006, p1171-1175, 5p |
| Abstrakt: |
In this paper, we present a real-time face detection method based on hybrid neural networks. We propose a modified version of fuzzy min-max (FMM) neural network for feature analysis and face classification. A relevance factor between features and pattern classes is defined to analyze the saliency of features. The measure can be utilized for the feature selection to construct an adaptive skin-color filter. The feature extraction module employs a convolutional neural network (CNN) with a Gabor transform layer to extract successively larger features in a hierarchical set of layers. In this paper we first describe the behavior of the proposed FMM model, and then introduce the feature analysis technique for skin-color filter and pattern classifier. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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